Abstract

In the era of rapid development of information technology, the application of smart sensors is becoming more and more extensive. All measurement and control equipment need to obtain raw data through sensors, and machines can also obtain various information through sensors. And this information, especially from the perspective of reliability, accuracy, and intelligent interaction, requires higher interactivity in people’s lives. In order to solve the problem that the existing interactive design is difficult and not intelligent enough, and the information fusion is not uniform enough, the results of the design have various deviations. This article intends to design through the use of smart sensors and information fusion technology to make an improvement to its interactive art design.

Highlights

  • IntroductionIn 1977, Ma’s visual theory was proposed

  • In 1973, Professor Ma’s enthusiasm for the study of visual measurement theory at the Massachusetts Institute of Technology established a research group

  • In order to verify the effectiveness of the algorithm and analyze the performance of the fusion algorithm, it is assumed that the AFL distributed simulation system is composed of three radars of the same type, the tracking time is 100 s, the number of Monte Carlo simulations is 600, and the following three types of different targets unfolding the tracking; the three kinds of exercise data obtained are shown in Tables 3–5

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Summary

Introduction

In 1977, Ma’s visual theory was proposed This theory had a great influence on machine vision research in the 1980s. Machine vision theory has entered a period of active development. In the mid-1980s, many new concepts and theories appeared in the machine vision method. The machine vision system started in the 1950s At that time, it only processed and analyzed the characteristics of two-dimensional images such as the character recognition of the license board, the two-dimensional detection of the working size, the processing of medical images, and the analysis of remote sensing images. Three-dimensional machine vision technology has made great progress. By the 1990s, many machine vision technologies appeared in the industry. In the field of industrial automation production, machine vision measurement technology has assumed an increasingly important role.

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